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Tools & Installation
Download and install Data and AI tools
Every data and AI tool at your fingertips, download and install necessary tools and programming languages, watch installation videos to guide you through
Every data and AI tool at your fingertips, download and install necessary tools and programming languages, watch installation videos to guide you through
Python is the primary programming language you'll use throughout the Datafrik Bootcamp. It is widely regarded as the most essential language for data science due to its simplicity, readability, and extensive ecosystem of libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn
Jupyter Notebook (and its enhanced version, JupyterLab) is an interactive coding environment designed specifically for data science tasks. It allows you to write, execute, and visualize code in small, manageable sections called cells making it ideal for experimentation and iteration.
Anaconda is a free, open-source distribution that simplifies Python and data science tool installation. It comes pre-packaged with Jupyter, Python, and over 200 other essential libraries like NumPy, Pandas, and SciPy—all necessary for data analysis and machine learning
Power BI and Tableau are powerful business intelligence and data visualization tools used to convert raw data into meaningful dashboards and reports.
Structured Query Language (SQL) is the standard language for querying and managing data stored in relational databases. In virtually every data-related job, the ability to extract, filter, and manipulate data from databases is a core skill
In the Datafrik Bootcamp, you'll learn how to use Git and GitHub to save your data projects, collaborate on group assignments, and maintain a professional, publicly accessible record of your work—essential for job applications and technical interviews.
Google Colab is a free, cloud-based platform that allows you to run Jupyter notebooks directly in your web browser—no installation needed. It is especially useful when working on shared projects or when you need extra computing resources, as Colab provides free GPU and TPU support for machine learning tasks
Visual Studio Code (VS Code) is a lightweight yet powerful code editor that supports Python development with extensions for data science. While Jupyter is ideal for notebooks, VS Code offers a more traditional development experience for building full scripts, automation, and larger data projects.
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